With our Big Data Hadoop Certification course, you will gain an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. Learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.As a part of the big data course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.

Who should take this Big Data Hadoop Training Course?Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:

Software Developers and Architects

Analytics Professionals

Senior IT professionals

Testing and Mainframe Professionals

Data Management Professionals

Business Intelligence Professionals

Project Managers

Aspiring Data Scientists

Graduates looking to build a career in Big Data Analytics

Prerequisites:

As knowledge of Java is necessary for this course, we are providing a complimentary access to the “Java Essentials for Hadoop” course

For Spark, we use Python and Scala. An e-book is provided for support.

Knowledge of an operating system such as Linux is useful for this course

What is CloudLab?

CloudLab is a cloud-based Hadoop and Spark environment lab that Simplilearn offers with the course to ensure a hassle-free execution of your hands-on projects. There is no need to install and maintain Hadoop or Spark on a virtual machine. Instead, you’ll be able to access a preconfigured environment on CloudLab via your browser. This environment is very similar to what companies are using today to optimize Hadoop installation scalability and availability.

You’ll have access to CloudLab from the Simplilearn LMS (Learning Management System) for the duration of the course. You can learn more about CloudLab by viewing our CloudLab video.

What projects are included in this Big Data Hadoop Online Training Course?

The course includes five real-life, industry-based projects on CloudLab. Successful evaluation of one of the following two projects is a part of the certification eligibility criteria.

Headset, speakers, and microphone: You’ll need headphones or speakers to hear instruction clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone.

Who will be the trainer for the classroom training?

Our trainers who deliver classroom training are certified instructors with more than 20 years of experience in the field.

What are the modes of training offered for this course?

We offer this training in the following modes:

Live Virtual Classroom or Online Classroom: You can attend the course remotely from your desktop via video conferencing to increase productivity and reduce the time spent away from work or home.

Online Self-Learning: Access the video training and go through the course at your own convenience.

Can I cancel my enrolment? Do I get a refund?

Yes, you can cancel your enrolment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

Are there any group discounts for classroom training programs?

Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide more details.